Fundamentals of CT imaging

Size: px
Start display at page:

Download "Fundamentals of CT imaging"

Transcription

1 SECTION 1

2 Fundamentals of CT imaging I History In the early 1970s Sir Godfrey Hounsfield s research produced the first clinically useful CT scans. Original scanners took approximately 6 minutes to perform a rotation (one slice) and 20 minutes to reconstruct. Despite many technological advances since then, the principles remain the same. On early scanners the tube rotated around a stationary patient with the table then moved to enable a further acquisition. The machine rotated clockwise and counter-clockwise as power was supplied via acable. Modern-day helical or spiral scanners obtain power via slip ring technology, thus allowing continuous tube rotation as the patient moves through the scanner automatically. This allows a volume of data to be acquired in a single rotation, with the benefits of faster scanning, faster patient throughput and less re-imaging as patient movement artefact is reduced. New multi-slice scanners use existing helical scanning technology but have multiple rows of detectors to acquire multiple slices per tube rotation. In turn, advanced computer processing power allows reconstructive techniques, such as three-dimensional and multiplanar reformats, to be more easily accessible. Consequently, scans are now performed routinely at a reporting workstation where the image can be viewed dynamically. Fundamentals of CT imaging Patient/table movement Single slice helical CT. The X-ray tube continuously rotates as the patient moves through at a constant rate. Single slice system. 3

3 IInterpretation of Emergency Head CT 4 Multidetector helical CT: four detectors shown here. Technical details Patient/table movement The X-ray tube produces a narrow fan-shaped beam of collimated X-rays, which pass through the patient to reach a bank of detectors opposite the source. X-rays are attenuated differentially by the patient, depending on the tissues through which they pass. Low density tissues such as fat/aerated lung absorb fewer X-rays, allowing more to reach the detector. The opposite is true of dense tissues such as bone. The amount of transmitted radiation received provides information on the density of the tissue. A CT slice is divided up into a matrix of squares, e.g , and The slice thickness determines the volume of these squares; these are called voxels. Using mathematical calculations, the degree to which a tissue absorbs radiation within each voxel, the linear attenuation coefficient, m, is calculated and assigned a value related to the average attenuation of the tissues within it the CT number or Hounsfield Unit. Each value of m is assigned a grey scale value on the display monitor and is presented as a square picture element (pixel) on the image. Spiral scanners acquire a volume of information from which an axial slice is reconstructed, as above, using computer technology. Slices are created from data during the reconstruction phase. Pitch is defined as the distance moved by the table in millimetres, during one complete rotation of the X-ray tube, divided by the slice thickness in millimetres. In general, increasing pitch (increase table speed with a fixed slice thickness) reduces radiation dose; as a result image resolution can be affected and thus a compromise usually exists. Distance moved by the table during one complete rotation Pitch ¼ Slice thickness

4 Ring of fixed detectors Fan angle Rotating X-ray tube and a fan beam of X-rays I Fundamentals of CT imaging Patient Helical system. Ring of detectors surrounding a patient. Patient/table movement Patient/table movement The pitch is low with the table moving less for each tube revolution, resulting in a sharper image. The pitch is high, effectively stretching out the helix. The table moves more for each revolution, resulting in some loss of image quality. 5

5 IInterpretation of Emergency Head CT Windowing and grey scale Modern CT scanners are able to differentiate in excess of 2000 CT numbers; however, the human eye can differentiate only around 30 shades of grey. To maximise the perception of medically important features, images can be digitally processed to meet a variety of clinical requirements. The grey scale values assigned to processed CT numbers on a display monitor, can be adjusted to suit special application requirements. Contrast can be enhanced by assigning just a narrow interval of CT numbers to the entire grey scale on the display monitor. This is called window technique; the range of CT numbers displayed on the whole grey scale being called the window width and the average value the window level. Changes in window width alter contrast, and changes in window level select the structures in the image to be displayed on the grey scale, i.e. from black to white. Narrowing the window compresses the grey scale to enable better differentiation of tissues within the chosen window. For example, in assessment of CT of the head, a narrow window of approximately 80 HU is used, thus allowing the eye to discriminate tissues only 2 3 HU apart. In practical terms, if we centre the window at 30 HU, then CT numbers above 70 will appear white and those below 10 will appear black. This allows subtle differences in tissue densities to be identified. Conversely, if the window is widened to 1500 HU, then each detectable shade of grey would cover 50 HU and soft tissue differentiation would be lost; however bone/soft tissue interfaces would be apparent. In practical terms the window width and level are preset on the workstation and can be adjusted by choosing the appropriate setting, i.e. a window setting for brain, posterior fossa, bone, etc. Tissue characteristics 6 Unlike conventional radiography, CT has relatively good contrast resolution and can therefore differentiate between tissues which vary only slightly in density. This is extremely valuable when assessing the brain, as grey and white matter vary only slightly in density. Artefacts aside, the densest structure in the head is bone, appearing white on CT. This is followed by acute haematoma, which is denser than flowing blood, due to clot retraction and loss of water. Blood is thought to be hyperdense due to the relative density of the haemoglobin molecule. With time, blood appears isodense and then hypodense, compared to brain parenchyma, due to clot resorption. Rebleeding and layering of blood (haematocrit effect due to gravity) can often cause confusion.

6 Brain can be differentiated into grey and white matter due to the difference in fatty myelin content between the two. Typically white matter (higher fatty myelin content HU 30) is darker than the adjacent grey matter (HU 40). Fat and air have low attenuation values and can be readily identified. CSF has a similar attenuation value to water, appearing black. Pathological processes may become apparent due to oedema within, or adjacent to, an abnormality. Oedema is less dense than normal brain. Occasionally the use of a contrast medium will reveal an abnormality either due to the inherent vascular nature of a lesion or due to alteration in the normal blood brain barrier. Tumours may be very variable in their appearance, but may be hyperdense due to a high nuclear/cytoplasmic ratio or tumour calcification. I Fundamentals of CT imaging Air Water Lung Fat Soft tissue Bone Bone Soft tissue Water 0 Fat Lung Air 1000 Hounsfield Scale of CT numbers. 7

7 Image artefacts IInterpretation of Emergency Head CT An artefact is a visual impression in the image of a feature that does not actually exist in the tissue being imaged. They are important to recognise so as not to be confused with pathology. Artefacts may occur due to scanner malfunction, patient movement and the presence of extrinsic objects within the slice being scanned, e.g. a metal foreign body. Fortunately, many artefacts have now been reduced or eliminated by advances in CT speed and technology. Motion artefacts Occur with voluntary and involuntary patient motion. Tend to result in streak patterns. Can be reduced by patient co-operation, quicker scan times and software compensation. Partial volume artefacts The CT number reflects the average attenuation within the voxel and thus, if a highly attenuating structure is present within the voxel, it will raise the average attenuation value partial volume artefact. Contamination can occur especially with thicker slices and near bony prominences. Always review the slices above and below to assess for structures likely to cause partial volume artefacts. Reduced by using thinner slices (e.g. posterior fossa) and software compensation. Metallic artefacts The attenuation coefficient of metal is much greater than any structure within the body. As a result, radiation is completely attenuated by the object and information about adjacent structures is lost. Produces characteristic star-shaped streak artefacts Can be reduced by widening the window; at a cost to intracranial detail. Again, software manipulation may help. Beam hardening artefacts Results from an increase in the average energy of the x-ray beam as it passes through a tissue. Think of CT as using a spectrum of radiation energy; low energy radiation is filtered out by high density structures such as bone, leaving higher energy radiation which is less absorbed by soft tissues, thus reducing tissue differentiation. Characterised by linear bands of low attenuation connecting two areas of high density, such as bone, e.g. the posterior fossa. Can be reduced by using a filter to adjust the spectrum of radiation and by post-processing software. 8

8 I Fundamentals of CT imaging Beam hardening artefact: band of low attenuation across the pons (arrowheads). This reduces tissue differentiation and is characteristic of beam-hardening artefact. Motion artefact: characteristic movement blurring. Metallic artefact. Gross star-shaped metallic streaks due to gunshot pellets. 9

9 IInterpretation of Emergency Head CT Important anatomical considerations Review of normal anatomy Key for cerebral anatomy 1 ¼ Sphenoid sinus 2 ¼ Medulla oblongata 3 ¼ cerebellum Temporal Lobe 10

10 4 ¼ Fourth ventricle 5 ¼ Middle cerebellar peduncle 6 ¼ Sigmoid sinus 7 ¼ Petrous temporal bone and mastoid air cells 8 ¼ Cerebellopontine angle 9 ¼ Pons 10 ¼ Pituitary fossa 10 I Important anatomical considerations Frontal Lobe Temporal Lobe 11

Ch. 4 Physical Principles of CT

Ch. 4 Physical Principles of CT Ch. 4 Physical Principles of CT CLRS 408: Intro to CT Department of Radiation Sciences Review: Why CT? Solution for radiography/tomography limitations Superimposition of structures Distinguishing between

More information

Shadow casting. What is the problem? Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING IDEAL DIAGNOSTIC IMAGING STUDY LIMITATIONS

Shadow casting. What is the problem? Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING IDEAL DIAGNOSTIC IMAGING STUDY LIMITATIONS Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING Reveal pathology Reveal the anatomic truth Steven R. Singer, DDS srs2@columbia.edu IDEAL DIAGNOSTIC IMAGING STUDY Provides desired diagnostic

More information

Corso di laurea in Fisica A.A Fisica Medica 4 TC

Corso di laurea in Fisica A.A Fisica Medica 4 TC Corso di laurea in Fisica A.A. 2007-2008 Fisica Medica 4 TC Computed Tomography Principles 1. Projection measurement 2. Scanner systems 3. Scanning modes Basic Tomographic Principle The internal structure

More information

Digital Image Processing

Digital Image Processing Digital Image Processing SPECIAL TOPICS CT IMAGES Hamid R. Rabiee Fall 2015 What is an image? 2 Are images only about visual concepts? We ve already seen that there are other kinds of image. In this lecture

More information

A closer look at CT scanning

A closer look at CT scanning Vet Times The website for the veterinary profession https://www.vettimes.co.uk A closer look at CT scanning Author : Charissa Lee, Natalie Webster Categories : General, Vets Date : April 3, 2017 A basic

More information

Image Acquisition Systems

Image Acquisition Systems Image Acquisition Systems Goals and Terminology Conventional Radiography Axial Tomography Computer Axial Tomography (CAT) Magnetic Resonance Imaging (MRI) PET, SPECT Ultrasound Microscopy Imaging ITCS

More information

FINDING THE TRUE EDGE IN CTA

FINDING THE TRUE EDGE IN CTA FINDING THE TRUE EDGE IN CTA by: John A. Rumberger, PhD, MD, FACC Your patient has chest pain. The Cardiac CT Angiography shows plaque in the LAD. You adjust the viewing window trying to evaluate the stenosis

More information

CT Basics Principles of Spiral CT Dose. Always Thinking Ahead.

CT Basics Principles of Spiral CT Dose. Always Thinking Ahead. 1 CT Basics Principles of Spiral CT Dose 2 Who invented CT? 1963 - Alan Cormack developed a mathematical method of reconstructing images from x-ray projections Sir Godfrey Hounsfield worked for the Central

More information

Tomographic Reconstruction

Tomographic Reconstruction Tomographic Reconstruction 3D Image Processing Torsten Möller Reading Gonzales + Woods, Chapter 5.11 2 Overview Physics History Reconstruction basic idea Radon transform Fourier-Slice theorem (Parallel-beam)

More information

BME I5000: Biomedical Imaging

BME I5000: Biomedical Imaging 1 Lucas Parra, CCNY BME I5000: Biomedical Imaging Lecture 4 Computed Tomography Lucas C. Parra, parra@ccny.cuny.edu some slides inspired by lecture notes of Andreas H. Hilscher at Columbia University.

More information

MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah

MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY Prof. Yasser Mostafa Kadah www.k-space.org Recommended Textbook X-Ray Computed Tomography in Biomedical Engineering, by Robert Cierniak, Springer, 211 Computed Tomography

More information

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada Overview Introduction Overview Introduction Tecniques of imaging in Overview Introduction Tecniques of imaging

More information

Applying Hounsfield unit density calibration in SkyScan CT-analyser

Applying Hounsfield unit density calibration in SkyScan CT-analyser 1 Bruker-microCT Method note Applying Hounsfield unit density calibration in SkyScan CT-analyser Hounsfield units (HU) are a standard unit of x-ray CT density, in which air and water are ascribed values

More information

CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0

CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0 Revised 10/10 COURSE SYLLABUS TM 220 COMPUTED TOMOGRAPHY PHYSICS CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0 CATALOG COURSE DESCRIPTION: This course is one of a three course set in whole body Computed

More information

Computed tomography - outline

Computed tomography - outline Computed tomography - outline Computed Tomography Systems Jørgen Arendt Jensen and Mikael Jensen (DTU Nutech) October 6, 216 Center for Fast Ultrasound Imaging, Build 349 Department of Electrical Engineering

More information

MEDICAL IMAGING 2nd Part Computed Tomography

MEDICAL IMAGING 2nd Part Computed Tomography MEDICAL IMAGING 2nd Part Computed Tomography Introduction 2 In the last 30 years X-ray Computed Tomography development produced a great change in the role of diagnostic imaging in medicine. In convetional

More information

Medical Image Processing: Image Reconstruction and 3D Renderings

Medical Image Processing: Image Reconstruction and 3D Renderings Medical Image Processing: Image Reconstruction and 3D Renderings 김보형 서울대학교컴퓨터공학부 Computer Graphics and Image Processing Lab. 2011. 3. 23 1 Computer Graphics & Image Processing Computer Graphics : Create,

More information

RADIOLOGY AND DIAGNOSTIC IMAGING

RADIOLOGY AND DIAGNOSTIC IMAGING Day 2 part 2 RADIOLOGY AND DIAGNOSTIC IMAGING Dr hab. Zbigniew Serafin, MD, PhD serafin@cm.umk.pl 2 3 4 5 CT technique CT technique 6 CT system Kanal K: RSNA/AAPM web module: CT Systems & CT Image Quality

More information

Introduction to Biomedical Imaging

Introduction to Biomedical Imaging Alejandro Frangi, PhD Computational Imaging Lab Department of Information & Communication Technology Pompeu Fabra University www.cilab.upf.edu X-ray Projection Imaging Computed Tomography Digital X-ray

More information

Computed Tomography. Principles, Design, Artifacts, and Recent Advances. Jiang Hsieh THIRD EDITION. SPIE PRESS Bellingham, Washington USA

Computed Tomography. Principles, Design, Artifacts, and Recent Advances. Jiang Hsieh THIRD EDITION. SPIE PRESS Bellingham, Washington USA Computed Tomography Principles, Design, Artifacts, and Recent Advances THIRD EDITION Jiang Hsieh SPIE PRESS Bellingham, Washington USA Table of Contents Preface Nomenclature and Abbreviations xi xv 1 Introduction

More information

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA Spiral CT Protocol Optimization & Quality Assurance Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA Spiral CT Protocol Optimization & Quality Assurance Protocol optimization

More information

Optimisation of Toshiba Aquilion ONE Volume Imaging

Optimisation of Toshiba Aquilion ONE Volume Imaging Optimisation of Toshiba Aquilion ONE Volume Imaging Jane Edwards, RPRSG Royal Free London NHS Foundation Trust Dr Mufudzi Maviki, Plymouth Hospitals NHS Trust Background In 2011/12 Radiology at RFH was

More information

Moscow-Bavarian Joint Advanced Student School 2006 / Medical Imaging Principles of Computerized Tomographic Imaging and Cone-Beam Reconstruction

Moscow-Bavarian Joint Advanced Student School 2006 / Medical Imaging Principles of Computerized Tomographic Imaging and Cone-Beam Reconstruction Line Integrals Line integrals represent the integral of some parameter of the object along the line (e.g. attenuation of x-rays) Object: f(x,y) Line: x cosθ + y sinθ = t Line integral / Radon transform:

More information

Computer-Tomography II: Image reconstruction and applications

Computer-Tomography II: Image reconstruction and applications Computer-Tomography II: Image reconstruction and applications Prof. Dr. U. Oelfke DKFZ Heidelberg Department of Medical Physics (E040) Im Neuenheimer Feld 280 69120 Heidelberg, Germany u.oelfke@dkfz.de

More information

3/27/2012 WHY SPECT / CT? SPECT / CT Basic Principles. Advantages of SPECT. Advantages of CT. Dr John C. Dickson, Principal Physicist UCLH

3/27/2012 WHY SPECT / CT? SPECT / CT Basic Principles. Advantages of SPECT. Advantages of CT. Dr John C. Dickson, Principal Physicist UCLH 3/27/212 Advantages of SPECT SPECT / CT Basic Principles Dr John C. Dickson, Principal Physicist UCLH Institute of Nuclear Medicine, University College London Hospitals and University College London john.dickson@uclh.nhs.uk

More information

[PDR03] RECOMMENDED CT-SCAN PROTOCOLS

[PDR03] RECOMMENDED CT-SCAN PROTOCOLS SURGICAL & PROSTHETIC DESIGN [PDR03] RECOMMENDED CT-SCAN PROTOCOLS WORK-INSTRUCTIONS DOCUMENT (CUSTOMER) RECOMMENDED CT-SCAN PROTOCOLS [PDR03_V1]: LIVE 1 PRESCRIBING SURGEONS Patient-specific implants,

More information

Computer-Tomography I: Principles, History, Technology

Computer-Tomography I: Principles, History, Technology Computer-Tomography I: Principles, History, Technology Prof. Dr. U. Oelfke DKFZ Heidelberg Department of Medical Physics (E040) Im Neuenheimer Feld 280 69120 Heidelberg, Germany u.oelfke@dkfz.de History

More information

Micro-CT Methodology Hasan Alsaid, PhD

Micro-CT Methodology Hasan Alsaid, PhD Micro-CT Methodology Hasan Alsaid, PhD Preclinical & Translational Imaging LAS, PTS, GlaxoSmithKline 20 April 2015 Provide basic understanding of technical aspects of the micro-ct Statement: All procedures

More information

Diagnostic imaging techniques. Krasznai Zoltán. University of Debrecen Medical and Health Science Centre Department of Biophysics and Cell Biology

Diagnostic imaging techniques. Krasznai Zoltán. University of Debrecen Medical and Health Science Centre Department of Biophysics and Cell Biology Diagnostic imaging techniques Krasznai Zoltán University of Debrecen Medical and Health Science Centre Department of Biophysics and Cell Biology 1. Computer tomography (CT) 2. Gamma camera 3. Single Photon

More information

First CT Scanner. How it Works. Contemporary CT. Before and After CT. Computer Tomography: How It Works. Medical Imaging and Pattern Recognition

First CT Scanner. How it Works. Contemporary CT. Before and After CT. Computer Tomography: How It Works. Medical Imaging and Pattern Recognition Computer Tomography: How t Works Medical maging and Pattern Recognition Lecture 7 Computed Tomography Oleh Tretiak Only one plane is illuminated. Source-subject motion provides added information. 2 How

More information

Some reference material

Some reference material Some reference material Physics reference book on medical imaging: A good one is The Essential Physics of Medical Imaging, 3 rd Ed. by Bushberg et al. ($170! new). However, there are several similar books

More information

MEDICAL IMAGING 2nd Part Computed Tomography

MEDICAL IMAGING 2nd Part Computed Tomography MEDICAL IMAGING 2nd Part Computed Tomography Introduction 2 In the last 30 years X-ray Computed Tomography development produced a great change in the role of diagnostic imaging in medicine. In convetional

More information

Computed Tomography. Principles of Medical Imaging. Contents. Prof. Dr. Philippe Cattin. MIAC, University of Basel. Sep 26th/Oct 3rd, 2016

Computed Tomography. Principles of Medical Imaging. Contents. Prof. Dr. Philippe Cattin. MIAC, University of Basel. Sep 26th/Oct 3rd, 2016 Computed Tomography Principles of Medical Imaging Prof. Dr. Philippe Cattin MIAC, University of Basel Contents Abstract 1 Computed Tomography Basics Introduction Computed Tomography Hounsfield's CT Prototype

More information

TEP Hounsfield units. Related topics Attenuation coefficient, Hounsfield units

TEP Hounsfield units. Related topics Attenuation coefficient, Hounsfield units Hounsfield units TEP Related topics Attenuation coefficient, Hounsfield units Principle Depending on the type of CT scanner and the settings, the result of a CT scan of the same material can be different

More information

Optimization of CT Simulation Imaging. Ingrid Reiser Dept. of Radiology The University of Chicago

Optimization of CT Simulation Imaging. Ingrid Reiser Dept. of Radiology The University of Chicago Optimization of CT Simulation Imaging Ingrid Reiser Dept. of Radiology The University of Chicago Optimization of CT imaging Goal: Achieve image quality that allows to perform the task at hand (diagnostic

More information

Brilliance CT Big Bore.

Brilliance CT Big Bore. 1 2 2 There are two methods of RCCT acquisition in widespread clinical use: cine axial and helical. In RCCT with cine axial acquisition, repeat CT images are taken each couch position while recording respiration.

More information

Computed tomography (Item No.: P )

Computed tomography (Item No.: P ) Computed tomography (Item No.: P2550100) Curricular Relevance Area of Expertise: Biology Education Level: University Topic: Modern Imaging Methods Subtopic: X-ray Imaging Experiment: Computed tomography

More information

Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D.

Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D. Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D. Applied Science Laboratory, GE Healthcare Technologies 1 Image Generation Reconstruction of images from projections. textbook reconstruction advanced

More information

Principles of Computerized Tomographic Imaging

Principles of Computerized Tomographic Imaging Principles of Computerized Tomographic Imaging Parallel CT, Fanbeam CT, Helical CT and Multislice CT Marjolein van der Glas August 29, 2000 Abstract The total attenuation suffered by one beam of x-rays

More information

Computed tomography of simple objects. Related topics. Principle. Equipment TEP Beam hardening, artefacts, and algorithms

Computed tomography of simple objects. Related topics. Principle. Equipment TEP Beam hardening, artefacts, and algorithms Related topics Beam hardening, artefacts, and algorithms Principle The CT principle is demonstrated with the aid of simple objects. In the case of very simple targets, only a few images need to be taken

More information

Physical bases of X-ray diagnostics

Physical bases of X-ray diagnostics Physical bases of X-ray diagnostics Dr. István Voszka Possibilities of X-ray production (X-ray is produced, when charged particles of high velocity are stopped) X-ray tube: Relatively low accelerating

More information

Enhanced material contrast by dual-energy microct imaging

Enhanced material contrast by dual-energy microct imaging Enhanced material contrast by dual-energy microct imaging Method note Page 1 of 12 2 Method note: Dual-energy microct analysis 1. Introduction 1.1. The basis for dual energy imaging Micro-computed tomography

More information

Computational Medical Imaging Analysis Chapter 4: Image Visualization

Computational Medical Imaging Analysis Chapter 4: Image Visualization Computational Medical Imaging Analysis Chapter 4: Image Visualization Jun Zhang Laboratory for Computational Medical Imaging & Data Analysis Department of Computer Science University of Kentucky Lexington,

More information

LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT Lab Manual: 0

LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT Lab Manual: 0 LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT Lab Manual: 0 Introduction This lab demonstration explores the physics and technology of Computed Tomography (CT) and guides the student and instructor

More information

INTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1. Modifications for P551 Fall 2013 Medical Physics Laboratory

INTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1. Modifications for P551 Fall 2013 Medical Physics Laboratory INTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1 Modifications for P551 Fall 2013 Medical Physics Laboratory Introduction Following the introductory lab 0, this lab exercise the student through

More information

CT: Physics Principles & Equipment Design

CT: Physics Principles & Equipment Design CT: Physics Principles & Equipment Design James Kofler, Ph.D Radiology Mayo Clinic Rochester, MN June 27, 2012 Disclosures Nothing to disclose Learning Objectives Understand fundamental concepts of - CT

More information

Recognition and Measurement of Small Defects in ICT Testing

Recognition and Measurement of Small Defects in ICT Testing 19 th World Conference on Non-Destructive Testing 2016 Recognition and Measurement of Small Defects in ICT Testing Guo ZHIMIN, Ni PEIJUN, Zhang WEIGUO, Qi ZICHENG Inner Mongolia Metallic Materials Research

More information

Biomedical Imaging. Computed Tomography. Patrícia Figueiredo IST

Biomedical Imaging. Computed Tomography. Patrícia Figueiredo IST Biomedical Imaging Computed Tomography Patrícia Figueiredo IST 2013-2014 Overview Basic principles X ray attenuation projection Slice selection and line projections Projection reconstruction Instrumentation

More information

Certificate in Clinician Performed Ultrasound (CCPU)

Certificate in Clinician Performed Ultrasound (CCPU) Certificate in Clinician Performed Ultrasound (CCPU) Syllabus Physics Tutorial Physics Tutorial Purpose: Training: Assessments: This unit is designed to cover the theoretical and practical curriculum for

More information

PLANMECA PROMAX 3D MID CBCT UNIT

PLANMECA PROMAX 3D MID CBCT UNIT 1(5) PLANMECA PROMAX 3D MID CBCT UNIT Introduction The Planmeca ProMax 3D Mid X-ray unit uses cone beam computerized tomography (CBCT) to produce three-dimensional X-ray images. Panoramic and cephalometric

More information

Ossa 3D User Manual. ios App v1.0.0

Ossa 3D User Manual. ios App v1.0.0 Ossa 3D User Manual ios App v1.0.0 CONTENTS Description 3 Getting Started User Interface 4 Control Gestures 4 View Modes 5 Save Project 5 Settings Menu In-App Purchases 5 Enable Passcode 5 Page Tools View

More information

Enhancement Image Quality of CT Using Single Slice Spiral Technique

Enhancement Image Quality of CT Using Single Slice Spiral Technique Enhancement Image Quality of CT Using Single Slice Spiral Technique Doaa. N. Al Sheack 1 and Dr.Mohammed H. Ali Al Hayani 2 1 2 Electronic and Communications Engineering Department College of Engineering,

More information

Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography

Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography Marc Kachelrieß, a Katia Sourbelle, and Willi A. Kalender Institute of Medical Physics, University of

More information

Cardiac Dual Energy CT: Technique

Cardiac Dual Energy CT: Technique RSNA 2013, VSCA51-01, Chicago, Dec. 5, 2013 Cardiac Radiology Series Cardiac Dual Energy CT: Technique Willi A. Kalender, Ph.D. Institute of Medical Physics University of Erlangen www.imp.uni-erlangen.de

More information

Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid. Yingxuan Chen. Graduate Program in Medical Physics Duke University

Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid. Yingxuan Chen. Graduate Program in Medical Physics Duke University Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid by Yingxuan Chen Graduate Program in Medical Physics Duke University Date: Approved: Lei Ren, Supervisor Fang Fang Yin, Chair

More information

ImPACT. Information Leaflet No. 1: CT Scanner Acceptance Testing

ImPACT. Information Leaflet No. 1: CT Scanner Acceptance Testing ImPACT Information Leaflet No. 1: CT Scanner Acceptance Testing Version 1.02, 18/05/01 CONTENTS: 1. SCOPE OF LEAFLET 2. GENERAL PRINCIPLES OF ACCEPTANCE AND COMMISSIONING 2.1 PHANTOMS 2.2 EXPOSURE AND

More information

8/7/2017. Disclosures. MECT Systems Overview and Quantitative Opportunities. Overview. Computed Tomography (CT) CT Numbers. Polyenergetic Acquisition

8/7/2017. Disclosures. MECT Systems Overview and Quantitative Opportunities. Overview. Computed Tomography (CT) CT Numbers. Polyenergetic Acquisition Quantitative Multi-Energy Computed Tomography: Imaging and Therapy Advancements Disclosures MECT Systems Overview and Quantitative Opportunities The speaker receives research funding from GE Healthcare

More information

CoE4TN4 Image Processing. Chapter 5 Image Restoration and Reconstruction

CoE4TN4 Image Processing. Chapter 5 Image Restoration and Reconstruction CoE4TN4 Image Processing Chapter 5 Image Restoration and Reconstruction Image Restoration Similar to image enhancement, the ultimate goal of restoration techniques is to improve an image Restoration: a

More information

INTERNATIONAL STANDARD

INTERNATIONAL STANDARD INTERNATIONAL STANDARD IEC 60601-2-44 2001 AMENDMENT 1 2002-09 Amendment 1 Medical electrical equipment Part 2-44: Particular requirements for the safety of X-ray equipment for computed tomography Amendement

More information

Effect of Scattering on the Image. Reducing Compton Scatter with a Grid

Effect of Scattering on the Image. Reducing Compton Scatter with a Grid Effect of Scattering on the Image Increasing Compton scattering degrades image. Webb 21 Reducing Compton Scatter with a Grid Grids Parallel (focused at infinity) Linear Focused (see figure) Moving grids

More information

A new Concept for High-Speed atline and inlinect for up to 100% Mass Production Process Control

A new Concept for High-Speed atline and inlinect for up to 100% Mass Production Process Control 18th World Conference on Nondestructive Testing, 16-20 April 2012, Durban, South Africa A new Concept for High-Speed atline and inlinect for up to 100% Mass Production Process Control Oliver BRUNKE 1,

More information

Metal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland

Metal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland Metal Artifact Reduction CT Techniques R S S S Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland N. 1 v o 4 1 0 2. Postoperative CT Metal Implants CT is accurate for assessment

More information

AIDR 3D Iterative Reconstruction:

AIDR 3D Iterative Reconstruction: Iterative Reconstruction: Integrated, Automated and Adaptive Dose Reduction Erin Angel, PhD Manager, Clinical Sciences, CT Canon Medical Systems USA Iterative Reconstruction 1 Since the introduction of

More information

MR IMAGE SEGMENTATION

MR IMAGE SEGMENTATION MR IMAGE SEGMENTATION Prepared by : Monil Shah What is Segmentation? Partitioning a region or regions of interest in images such that each region corresponds to one or more anatomic structures Classification

More information

Computational Medical Imaging Analysis

Computational Medical Imaging Analysis Computational Medical Imaging Analysis Chapter 1: Introduction to Imaging Science Jun Zhang Laboratory for Computational Medical Imaging & Data Analysis Department of Computer Science University of Kentucky

More information

Motion artifact detection in four-dimensional computed tomography images

Motion artifact detection in four-dimensional computed tomography images Motion artifact detection in four-dimensional computed tomography images G Bouilhol 1,, M Ayadi, R Pinho, S Rit 1, and D Sarrut 1, 1 University of Lyon, CREATIS; CNRS UMR 5; Inserm U144; INSA-Lyon; University

More information

Hidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept.

Hidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept. 2-D D Dose-CT Mapping in Geant4 Hidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept. Table of Contents Background & Purpose Materials Methods

More information

Refraction Corrected Transmission Ultrasound Computed Tomography for Application in Breast Imaging

Refraction Corrected Transmission Ultrasound Computed Tomography for Application in Breast Imaging Refraction Corrected Transmission Ultrasound Computed Tomography for Application in Breast Imaging Joint Research With Trond Varslot Marcel Jackowski Shengying Li and Klaus Mueller Ultrasound Detection

More information

ML reconstruction for CT

ML reconstruction for CT ML reconstruction for CT derivation of MLTR rigid motion correction resolution modeling polychromatic ML model dual energy ML model Bruno De Man, Katrien Van Slambrouck, Maarten Depypere, Frederik Maes,

More information

Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy

Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy T. Rohlfing a, D. Zerfowski b, J. Beier a, P. Wust a, N. Hosten a, R. Felix a a Department of

More information

Modifications for P551 Fall 2014

Modifications for P551 Fall 2014 LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT 1 Modifications for P551 Fall 2014 Introduction This lab demonstration explores the physics and technology of Computed Tomography (CT) and guides the

More information

CT Basics: Image Processing and Reconstruction Module 4

CT Basics: Image Processing and Reconstruction Module 4 Module 4 For educational and institutional use. This transcript is licensed for noncommercial, educational inhouse or online educational course use only in educational and corporate institutions. Any broadcast,

More information

Whole Body Submillimeter Scan

Whole Body Submillimeter Scan 128 Whole Body Submillimeter Scan The real value of 64ch/128slice CT systems does not come from the ability to perfom cardiac scans but the capability to scan all parts of the body in high definition submillimeter

More information

CHAPTER 9: Magnetic Susceptibility Effects in High Field MRI

CHAPTER 9: Magnetic Susceptibility Effects in High Field MRI Figure 1. In the brain, the gray matter has substantially more blood vessels and capillaries than white matter. The magnified image on the right displays the rich vasculature in gray matter forming porous,

More information

A new Concept for High-Speed atline and inlinect for up to 100% Mass Production Process Control

A new Concept for High-Speed atline and inlinect for up to 100% Mass Production Process Control 6 th International Congress of Metrology, 06003 (203) DOI: 0.05/ metrology/20306003 C Owned by the authors, published by EDP Sciences, 203 A new Concept for High-Speed atline and inlinect for up to 00%

More information

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis Stefan C. Saur 1, Hatem Alkadhi 2, Luca Regazzoni 1, Simon Eugster 1, Gábor Székely 1, Philippe Cattin 1,3 1 Computer Vision

More information

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon WHITE PAPER Introduction Introducing an image guidance system based on Cone Beam CT (CBCT) and a mask immobilization

More information

A Generic Lie Group Model for Computer Vision

A Generic Lie Group Model for Computer Vision A Generic Lie Group Model for Computer Vision Within this research track we follow a generic Lie group approach to computer vision based on recent physiological research on how the primary visual cortex

More information

PURE. ViSION Edition PET/CT. Patient Comfort Put First.

PURE. ViSION Edition PET/CT. Patient Comfort Put First. PURE ViSION Edition PET/CT Patient Comfort Put First. 2 System features that put patient comfort and safety first. Oncology patients deserve the highest levels of safety and comfort during scans. Our Celesteion

More information

SPECT QA and QC. Bruce McBride St. Vincent s Hospital Sydney.

SPECT QA and QC. Bruce McBride St. Vincent s Hospital Sydney. SPECT QA and QC Bruce McBride St. Vincent s Hospital Sydney. SPECT QA and QC What is needed? Why? How often? Who says? QA and QC in Nuclear Medicine QA - collective term for all the efforts made to produce

More information

Medical Imaging Projects

Medical Imaging Projects NSF REU MedIX Summer 2006 Medical Imaging Projects Daniela Stan Raicu, PhD http://facweb.cs.depaul.edu/research draicu@cs.depaul.edu Outline Medical Informatics Imaging Modalities Computed Tomography Medical

More information

Quality control phantoms and protocol for a tomography system

Quality control phantoms and protocol for a tomography system Quality control phantoms and protocol for a tomography system Lucía Franco 1 1 CT AIMEN, C/Relva 27A O Porriño Pontevedra, Spain, lfranco@aimen.es Abstract Tomography systems for non-destructive testing

More information

UNIVERSITY OF SOUTHAMPTON

UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON PHYS2007W1 SEMESTER 2 EXAMINATION 2014-2015 MEDICAL PHYSICS Duration: 120 MINS (2 hours) This paper contains 10 questions. Answer all questions in Section A and only two questions

More information

Carestream s 2 nd Generation Metal Artifact Reduction Software (CMAR 2)

Carestream s 2 nd Generation Metal Artifact Reduction Software (CMAR 2) Carestream s 2 nd Generation Metal Artifact Reduction Software (CMAR 2) Author: Levon Vogelsang Introduction Cone beam computed tomography (CBCT), or cone beam CT technology, offers considerable promise

More information

COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION

COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION BY CHUANG MIAO A Thesis Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES

More information

Superior Imaging on the Go

Superior Imaging on the Go Superior Imaging on the Go About Samsung Samsung Electronics Co., Ltd. is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we

More information

HIGH-SPEED THEE-DIMENSIONAL TOMOGRAPHIC IMAGING OF FRAGMENTS AND PRECISE STATISTICS FROM AN AUTOMATED ANALYSIS

HIGH-SPEED THEE-DIMENSIONAL TOMOGRAPHIC IMAGING OF FRAGMENTS AND PRECISE STATISTICS FROM AN AUTOMATED ANALYSIS 23 RD INTERNATIONAL SYMPOSIUM ON BALLISTICS TARRAGONA, SPAIN 16-20 APRIL 2007 HIGH-SPEED THEE-DIMENSIONAL TOMOGRAPHIC IMAGING OF FRAGMENTS AND PRECISE STATISTICS FROM AN AUTOMATED ANALYSIS P. Helberg 1,

More information

Chapter 3 Set Redundancy in Magnetic Resonance Brain Images

Chapter 3 Set Redundancy in Magnetic Resonance Brain Images 16 Chapter 3 Set Redundancy in Magnetic Resonance Brain Images 3.1 MRI (magnetic resonance imaging) MRI is a technique of measuring physical structure within the human anatomy. Our proposed research focuses

More information

A new concept for high-speed atline and inline CT for up to 100% mass production process control allowing both 3D metrology and failure analysis

A new concept for high-speed atline and inline CT for up to 100% mass production process control allowing both 3D metrology and failure analysis A new concept for high-speed atline and inline CT for up to 100% mass production process control allowing both 3D metrology and failure analysis Oliver Brunke 1, Ferdinand Hansen 2, Ingo Stuke 3, Friedrich

More information

Centre for Mathematical Sciences, Mathematics, LTH, December 2015

Centre for Mathematical Sciences, Mathematics, LTH, December 2015 Centre for Mathematical Sciences, Mathematics, LTH, December 2015 FMNA30 - Medical Image Analysis, Assignment 4 1 Introduction The purpose of this assignment is to give hands-on experience with handling

More information

Dose Calculations: Where and How to Calculate Dose. Allen Holder Trinity University.

Dose Calculations: Where and How to Calculate Dose. Allen Holder Trinity University. Dose Calculations: Where and How to Calculate Dose Trinity University www.trinity.edu/aholder R. Acosta, W. Brick, A. Hanna, D. Lara, G. McQuilen, D. Nevin, P. Uhlig and B. Slater Dose Calculations - Why

More information

Computational Medical Imaging Analysis

Computational Medical Imaging Analysis Computational Medical Imaging Analysis Chapter 2: Image Acquisition Systems Jun Zhang Laboratory for Computational Medical Imaging & Data Analysis Department of Computer Science University of Kentucky

More information

Planmeca ProMax 3D Max CBCT unit

Planmeca ProMax 3D Max CBCT unit D00107623 1(6) Planmeca ProMax 3D Max CBCT unit Introduction The Planmeca ProMax 3D Max X-ray unit uses cone beam computerized tomography (CBCT) to produce threedimensional X-ray images. Panoramic and

More information

Monte Carlo modelling and applications to imaging

Monte Carlo modelling and applications to imaging Monte Carlo modelling and applications to imaging The Monte Carlo method is a method to obtain a result through repeated random sampling of the outcome of a system. One of the earliest applications, in

More information

Technical aspects of SPECT and SPECT-CT. John Buscombe

Technical aspects of SPECT and SPECT-CT. John Buscombe Technical aspects of SPECT and SPECT-CT John Buscombe What does the clinician need to know? For SPECT What factors affect SPECT How those factors should be sought Looking for artefacts For SPECT-CT Issues

More information

Fmri Spatial Processing

Fmri Spatial Processing Educational Course: Fmri Spatial Processing Ray Razlighi Jun. 8, 2014 Spatial Processing Spatial Re-alignment Geometric distortion correction Spatial Normalization Smoothing Why, When, How, Which Why is

More information

Methods for data preprocessing

Methods for data preprocessing Methods for data preprocessing John Ashburner Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London, UK. Overview Voxel-Based Morphometry Morphometry in general Volumetrics VBM preprocessing

More information

1970 Projection Radiography 2D projection of 3D anatomy

1970 Projection Radiography 2D projection of 3D anatomy Speakers: L. N. Rothenberg, Ph.D. Computed Tomography G. D. Clarke, Ph.D. Magnetic Resonance Imaging J. A. Zagzebski, Ph.D. Ultrasonic Imaging August 1, 2012 Lawrence N. Rothenberg, Ph.D. Keith S. Pentlow,

More information

Radon Transform and Filtered Backprojection

Radon Transform and Filtered Backprojection Radon Transform and Filtered Backprojection Jørgen Arendt Jensen October 13, 2016 Center for Fast Ultrasound Imaging, Build 349 Department of Electrical Engineering Center for Fast Ultrasound Imaging Department

More information

GE Healthcare. Agile Ultrasound. The Next Revolution in Ultrasound Imaging

GE Healthcare. Agile Ultrasound. The Next Revolution in Ultrasound Imaging Agile Ultrasound The Next Revolution in Ultrasound Imaging Abstract Diagnostic use of ultrasound has greatly expanded over the past couple of decades because it offers many advantages as an imaging modality.

More information